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THE NEED OF PERSONALIZATION AND OPPORTUNITIES IN AUTONOMOUS VEHICELS AND SHARED MOBILITY

General Motors Tech Center India-Suresh Dayakar, Vijayasarathy Subramanian, Keshava Reddy, Vijaykumar Shiramgond
  • Technical Paper
  • 2019-28-2520
To be published on 2019-11-21 by SAE International in United States
Shared mobility and Autonomous shared mobility take major share in Mobility 4.0. Personalization in a shared mobility will play a significant role in customer engagement in Autonomous world. In case of personal vehicle each customer will have their own personal settings in their own vehicle; in case of Autonomous shared mobility or shared mobility, we can satisfy individual customer need only by personalizing the vehicle for each individual user needs. This will give a cognitive feel of personal vehicle in a shared environment. We need technologies in improving vehicle interior and exterior systems and design to address personalization. We will be discussing on feasible opportunities of personalization and with illustrations in Vehicle Interior Cabin Space, Seat comfort, Compartments, Vehicle interior & Exterior Access / Controls. The summary will have design concept that will have personalization solutions satisfying each critical customer integration for all identified zones of vehicle exterior and interior. This approach of Design Thinking of identifying personalization need and enabling integrated design solution will help to improve customer satisfaction and engagement in Autonomous /…
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Identifying Automated Driving Systems-Dedicated Vehicles (ADS-DVs) Passenger Issues for Persons with Disabilities

On-Road Automated Driving (ORAD) committee
  • Ground Vehicle Standard
  • J3171_201911
  • Current
Published 2019-11-19 by SAE International in United States

It is expected that Level 4 and 5 automated driving systems-dedicated vehicles (ADS-DVs) will eventually enable persons to travel at will who are otherwise unable to obtain a driver's license for a conventional vehicle, namely, persons with certain visual, cognitive, and/or physical impairments. This information report focuses on these disabilities, but also provides guidance for those with other disabilities. This report is limited to fleet operated on-demand shared mobility scenarios, as this is widely considered to be the first way people will be able to interact with ADS-DVs. To be more specific, this report does not address fixed route transit services or private vehicle ownership. Similarly, this report is focused on road-worthy vehicles; not scooters, golf carts, etc. Lastly, this report does not address the design of chair lifts, ramps, or securements for persons who use wheeled mobility devices (WHMD) (e.g., wheelchair, electric cart, etc.), as these matters are addressed by other committees within SAE International.

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Self-Affinity of an Aircraft Pilot’s Gaze Direction as a Marker of Visual Tunneling

Bordeaux University-Jean-Marc André, Éric Grivel, Pierrick Legrand
Thales AVS France-Bastien Berthelot, Patrick Mazoyer, Sarah Egea
Published 2019-09-16 by SAE International in United States
For the last few years, a great deal of interest has been paid to crew monitoring systems in order to address potential safety problems during a flight. They aim at detecting any degraded physiological and/or cognitive state of an aircraft pilot or crew, such as visual tunneling, also called inattentional blindness. Indeed, they might have a negative impact on the performance to pursue the mission with adequate flight safety levels. One of the usual approaches consists in using sensors to collect physiological signals which are then analyzed. Two main families exist to process the signals. The first one combines feature extraction and machine learning whereas the second is based on deep-learning approaches which may require a large amount of labeled data. In this work, we focused on the first family. In this case, various features can be deduced from the data by different approaches: spectrum analysis, a priori modeling and nonlinear dynamical system analysis techniques including the estimation of the self-affinity of the signals. In this paper, our purpose was to uncover whether the self-affinity…
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Senior Virtual Assistant Mitigates Impact of Dementia and Delirium

  • Magazine Article
  • TBMG-35090
Published 2019-09-01 by Tech Briefs Media Group in United States

An estimated 50 million people worldwide are living with dementia, resulting in more than $1 trillion each year in healthcare costs. Artificial emotional intelligence (AEI) technology developer BPU Holdings has been researching methods to reduce the complications associated with the disease. Its senior virtual assistant (SeVA) technology utilizes computer-simulated emotion to provide a new level of support for dementia patients to mitigate their pain. In doing so, the technology is expected to reduce treatment costs in the millions of dollars globally.

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Inside VW's expanding SILICON VALLEY LAB

Automotive Engineering: September 2019

Bradley Berman
  • Magazine Article
  • 19AUTP09_04
Published 2019-09-01 by SAE International in United States

The pioneering California innovation hub enters its third decade on a new wave of innovation.

On July 1, Volkswagen renamed its Silicon Valley outpost. The former Electronics Research Lab (ERL) based in Belmont, Calif., is now the Innovation and Engineering Center California (IECC). In its 20-year history, the list of the center's achievements includes winning the 2005 DARPA Grand Challenge, the first use of Google Earth and predictive models in vehicle navigation and approximately 175 patents related mostly to autonomous driving and connected mobility. The engineers and social scientists in Belmont are in the business of cracking tough nuts - but none as hard as the entrenched mindset of auto-industry veterans resistant to change.

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U.S. Army Aeromedical Research Laboratory

  • Magazine Article
  • TBMG-34636
Published 2019-06-01 by Tech Briefs Media Group in United States

In October 1962, the U.S. Army Aeromedical Research Unit was established with a goal of providing specialized medical and physiological support to help close the gap between Army combat aviation needs and human capabilities, and to protect aviators from altitude, climate, noise, acceleration, impact, and other stressors in a growing hostile environment. In 1969, the Army re-designated the unit as the U.S. Army Aeromedical Research Laboratory (USAARL).

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Effectiveness of Workload-Based Drowsy Driving Countermeasures

General Motors-Freddy Rayes, Maureen Short
Virginia Polytechnic Inst. & State University-Robert Llaneras
Published 2019-04-02 by SAE International in United States
This study evaluated the effectiveness of alternative workload-based interventions intended to restore driver alertness following drowsy episodes. Unlike traditional drowsy driving studies, this experiment did not target sleep-deprived individuals, but rather studied normally rested drivers under the assumption that low-workload environments could trigger drowsy driving episodes. The study served as a proof of concept for varying the nature and onset of countermeasure interventions intended to disrupt the drowsiness cycle. Interventions to combat drowsiness attempted to target driver workload, either physical or cognitive, and included two primary treatment conditions: 1) physical workload to increase driver steering demands and 2) trivia-based interactive games to mentally challenge drivers. A benchmark comparison condition using music was also investigated to contrast the relative influence of workload-based interventions with passive listening to musical arrangements. The study also varied the onset stage of the intervention, basing either early or late onset on driver drowsiness levels indexed using a Percentage of Eyelid Closure (PERCLOS) measure. Thirty drivers, aged 21-70, completed a 3-hour trip in a driving simulator. When a drowsy driving episode was…
Annotation ability available
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“Fitting Data”: A Case Study on Effective Driver Distraction State Classification

American Optimal Decisions, Inc.-Alexey Zrazhevsky
DENSO International America Inc.-Yu Zhang
Published 2019-04-02 by SAE International in United States
The goal of this project was to investigate how to make driver distraction state classification more efficient by applying selected machine learning techniques to existing datasets. The data set used in this project included both overt driver behavior measures (e.g., lane keeping and headway measures) and indices of internal cognitive processes (e.g., driver situation awareness responses) collected under four distraction conditions, including no-distraction, visual-manual distraction only, cognitive distraction only, and dual distraction conditions. The baseline classification method that we employed was a support vector machine (SVM) to first identify driver states of visual-manual distraction and then to identify any cognitive-related distraction among the visual-manual distraction cases and other non-visual manual distraction cases. The new aspect of this research is optimization of the classification effort, which involved cardinality constraints on 16 overt driver behavior measures. A spline transformation was also implemented to achieve better classification performance. In addition to testing our optimization approach with the SVM, we also explored logistic regression. Results revealed the spline-transformed variables to produce a good “out-of-sample” performance for both the SVM…
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Modular Biosensor Patch

  • Magazine Article
  • TBMG-34137
Published 2019-04-01 by Tech Briefs Media Group in United States

Researchers are identifying new biomarkers to help monitor cognition and stress in the human body and enhance human performance. Traditional biomarkers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with stronger and more specific links are preferred.

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Modular Biosensor Patch

Aerospace & Defense Technology: April 2019

  • Magazine Article
  • 19AERP04_08
Published 2019-04-01 by SAE International in United States

Identifying new biomarkers to help monitor cognition and stress in the human body could enhance human performance.

Researchers are identifying new biomarkers to help monitor cognition and stress in the human body and enhance human performance. Traditional biomarkers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with stronger and more specific links are preferred.

Annotation ability available